{"id":"W2538050249","doi":"10.1145/2984751.2985742","title":"WhammyPhone","year":2016,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Gesture; Computer science; Leverage (statistics); Set (abstract data type); Interface (matter); Human–computer interaction; Digital audio; Computer graphics (images); Multimedia; Speech recognition; Audio signal; Artificial intelligence; Speech coding","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003989291,0.0008272238,0.0003886201,0.0004524584,0.000365342,0.0009188508,0.001305443,0.001289194,0.08532474],"category_scores_gemma":[0.001235324,0.0003745368,0.0003784876,0.0002985266,0.0003344268,0.001882415,0.001993346,0.0005854484,0.01482443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001339163,"about_ca_system_score_gemma":0.000237537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006467566,"about_ca_topic_score_gemma":0.001078296,"domain_scores_codex":[0.9996544,0.0000302516,0.00002263764,0.00007853547,0.0001571031,0.00005713005],"domain_scores_gemma":[0.9996763,0.0001074294,0.00001686365,0.00006602844,0.00007958059,0.00005363562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001700285,0.0001668003,0.001565376,0.001813486,0.0001350173,0.001630582,0.0009969646,0.001171435,0.180636,0.0119625,0.2270999,0.5711217],"study_design_scores_gemma":[0.0001767015,0.0006926624,0.005076372,0.0002571718,0.00009966807,0.002626441,0.0001916226,0.008486402,0.06581281,0.005792927,0.9106336,0.0001536648],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08952875,0.01060423,0.4549828,0.001527504,0.004165544,0.001599997,0.01461067,0.08378396,0.3391965],"genre_scores_gemma":[0.4013745,0.003610541,0.2548602,0.004367216,0.0009775301,0.001990257,0.020173,0.01033616,0.3023106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08532474,"threshold_uncertainty_score":0.2854397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04975695978659069,"score_gpt":0.2880060867406057,"score_spread":0.238249126954015,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}